Paper Citation Record · LEDGER

OGBench: Benchmarking Offline Goal-Conditioned RL

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 34 inbound Pith citation observations for arXiv:2410.20092.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2410.20092 v2

Coverage vector

measured 0 of 0 reference resolution

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Source: paper_references, paper_reference_links

measured 34 of 34 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 34 of 34 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T05:00:06.317779Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: arxiv_reference, observed 2026-07-03T04:17:36.875832Z

Reference resolution

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External citation measurements

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Outbound references

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Pith citing papers

Observation ddd076b9-b87d-41cc-8f01-81939b16a6cf · inbound

Learning The Minimum Action Distance cites this paper.

Learning The Minimum Action Distance OGBench: Benchmarking Offline Goal-Conditioned RL

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-07T05:00:06.317779Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 36b8ca25-01b5-4335-ae96-44d416abfe1e · inbound

Steering Your Diffusion Policy with Latent Space Reinforcement Learning cites this paper.

Steering Your Diffusion Policy with Latent Space Reinforcement Learning OGBench: Benchmarking Offline Goal-Conditioned RL

Reference 86

Resolution: verified exact; arxiv_id, observed 2026-05-17T21:55:46.344748Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 6dff9391-b094-4459-a603-a585e27a868f · inbound

Reinforcement Learning with Action Chunking cites this paper.

Reinforcement Learning with Action Chunking OGBench: Benchmarking Offline Goal-Conditioned RL

Reference 54

Resolution: metadata mismatch; arxiv_id, observed 2026-05-19T05:22:06.454680Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 94b606da-e505-4439-a907-8aea010ac98d · inbound

Benchmarking Massively Parallelized Multi-Task Reinforcement Learning for Robotics Tasks cites this paper.

Benchmarking Massively Parallelized Multi-Task Reinforcement Learning for Robotics Tasks OGBench: Benchmarking Offline Goal-Conditioned RL

Reference 46

Resolution: unresolved; no resolver link, observed 2026-08-06T11:03:27.866008Z

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Unavailable: canonical work link unavailable.

Observation d9dbfc70-990c-4916-9fce-9c40718e0fdd · inbound

Value Flows cites this paper.

Value Flows OGBench: Benchmarking Offline Goal-Conditioned RL

Reference 65

Resolution: unresolved; no resolver link, observed 2026-08-04T11:01:32.940364Z

Source-reported events for the cited work

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Observation fa05d691-ee30-48d1-bca9-55001b0cf89d · inbound

Compositional Diffusion with Guided Search for Long-Horizon Planning cites this paper.

Compositional Diffusion with Guided Search for Long-Horizon Planning OGBench: Benchmarking Offline Goal-Conditioned RL

Reference 48

Resolution: unresolved; no resolver link, observed 2026-08-03T13:13:46.181719Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation db0b3ea9-b2d5-4412-942a-55295afb2f63 · inbound

SERNF: Sample-Efficient Real-World Dexterous Policy Fine-Tuning via Action-Chunked Critics and Normalizing Flows cites this paper.

SERNF: Sample-Efficient Real-World Dexterous Policy Fine-Tuning via Action-Chunked Critics and Normalizing Flows OGBench: Benchmarking Offline Goal-Conditioned RL

Reference 43

Resolution: verified exact; arxiv_id, observed 2026-05-16T03:37:13.925570Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 51faad8d-45e9-4094-90c7-8d8b21cb8b97 · inbound

SERNF: Sample-Efficient Real-World Dexterous Policy Fine-Tuning via Action-Chunked Critics and Normalizing Flows cites this paper.

SERNF: Sample-Efficient Real-World Dexterous Policy Fine-Tuning via Action-Chunked Critics and Normalizing Flows OGBench: Benchmarking Offline Goal-Conditioned RL

Reference 43

Resolution: unresolved; no resolver link, observed 2026-08-03T02:55:50.664859Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a8343163-33b9-4f8f-862e-8bfb86baf7ce · inbound

Mollified Value Learning cites this paper.

Mollified Value Learning OGBench: Benchmarking Offline Goal-Conditioned RL

Reference 45

Resolution: unresolved; no resolver link, observed 2026-08-02T20:29:21.761975Z

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Unavailable: canonical work link unavailable.

Observation f9df1c76-1628-4832-a185-ad2f45d46095 · inbound

Hierarchical Planning with Latent World Models cites this paper.

Hierarchical Planning with Latent World Models OGBench: Benchmarking Offline Goal-Conditioned RL

Reference 35

Resolution: metadata mismatch; arxiv_id, observed 2026-05-13T20:18:13.774657Z

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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 91efc267-0bc1-469c-b6cb-d890ec779898 · inbound

Efficient Hierarchical Implicit Flow Q-learning for Offline Goal-conditioned Reinforcement Learning cites this paper.

Efficient Hierarchical Implicit Flow Q-learning for Offline Goal-conditioned Reinforcement Learning OGBench: Benchmarking Offline Goal-Conditioned RL

Reference 3

Resolution: verified exact; arxiv_id, observed 2026-05-11T05:20:58.759408Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 5d64e35e-d665-4b71-82a6-b355254c28fd · inbound

Fisher Decorator: Refining Flow Policy via a Local Transport Map cites this paper.

Fisher Decorator: Refining Flow Policy via a Local Transport Map OGBench: Benchmarking Offline Goal-Conditioned RL

Reference 5

Resolution: verified exact; arxiv_id, observed 2026-05-10T06:51:46.552771Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 52b4f72d-a89e-4d2c-b643-2cc6aaad9b70 · inbound

Occupancy Reward Shaping: Improving Credit Assignment for Offline Goal-Conditioned Reinforcement Learning cites this paper.

Occupancy Reward Shaping: Improving Credit Assignment for Offline Goal-Conditioned Reinforcement Learning OGBench: Benchmarking Offline Goal-Conditioned RL

Reference 17

Resolution: verified exact; arxiv_id, observed 2026-05-10T00:24:47.205459Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation f7c41406-3076-4c03-9255-6e26d1176723 · inbound

SpecRLBench: A Benchmark for Generalization in Specification-Guided Reinforcement Learning cites this paper.

SpecRLBench: A Benchmark for Generalization in Specification-Guided Reinforcement Learning OGBench: Benchmarking Offline Goal-Conditioned RL

Reference 12

Resolution: verified exact; arxiv_id, observed 2026-05-11T21:51:30.956553Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 16424fe2-24bc-442f-a9c2-c627f70a1b1c · inbound

Borrowed Geometry: Cross-Distribution Head-Importance Fingerprints of Frozen Pretrained Gemma 4 31B cites this paper.

Borrowed Geometry: Cross-Distribution Head-Importance Fingerprints of Frozen Pretrained Gemma 4 31B OGBench: Benchmarking Offline Goal-Conditioned RL

Reference 19

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T15:11:06.863014Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 300624e1-04bc-4ec4-87c6-edc248d7fa68 · inbound

Borrowed Geometry: Cross-Distribution Head-Importance Fingerprints of Frozen Pretrained Gemma 4 31B cites this paper.

Borrowed Geometry: Cross-Distribution Head-Importance Fingerprints of Frozen Pretrained Gemma 4 31B OGBench: Benchmarking Offline Goal-Conditioned RL

Reference 10

Resolution: metadata mismatch; arxiv_id, observed 2026-05-21T00:29:17.301394Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 9466608c-1199-4497-a4b2-077d4b95e77b · inbound

Towards Efficient and Expressive Offline RL via Flow-Anchored Noise-conditioned Q-Learning cites this paper.

Towards Efficient and Expressive Offline RL via Flow-Anchored Noise-conditioned Q-Learning OGBench: Benchmarking Offline Goal-Conditioned RL

Reference 57

Resolution: verified exact; arxiv_id, observed 2026-05-11T08:56:00.606269Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation c88c5716-39f9-4a42-b98f-974e35ff1918 · inbound

Long-Horizon Q-Learning: Accurate Value Learning via n-Step Inequalities cites this paper.

Long-Horizon Q-Learning: Accurate Value Learning via n-Step Inequalities OGBench: Benchmarking Offline Goal-Conditioned RL

Reference 30

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T19:41:07.982348Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 6857293c-88d8-4b70-80b9-0634613f7325 · inbound

Long-Horizon Q-Learning: Accurate Value Learning via n-Step Inequalities cites this paper.

Long-Horizon Q-Learning: Accurate Value Learning via n-Step Inequalities OGBench: Benchmarking Offline Goal-Conditioned RL

Reference 30

Resolution: metadata mismatch; arxiv_id, observed 2026-05-12T05:41:24.574346Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation c98f6020-6a6c-44eb-b2a3-6e0cdc916f31 · inbound

Predictive but Not Plannable: RC-aux for Latent World Models cites this paper.

Predictive but Not Plannable: RC-aux for Latent World Models OGBench: Benchmarking Offline Goal-Conditioned RL

Reference 33

Resolution: verified exact; arxiv_id, observed 2026-05-11T03:50:57.287755Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation e418e201-bd0b-4a2d-a6d1-0865b173542e · inbound

Multi-scale Predictive Representations for Goal-conditioned Reinforcement Learning cites this paper.

Multi-scale Predictive Representations for Goal-conditioned Reinforcement Learning OGBench: Benchmarking Offline Goal-Conditioned RL

Reference 30

Resolution: verified exact; arxiv_id, observed 2026-05-12T07:16:26.099173Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 3314f778-70a6-4826-b3a6-9ec994936505 · inbound

Aligning Flow Map Policies with Optimal Q-Guidance cites this paper.

Aligning Flow Map Policies with Optimal Q-Guidance OGBench: Benchmarking Offline Goal-Conditioned RL

Reference 32

Resolution: verified exact; arxiv_id, observed 2026-05-13T05:07:17.404995Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 08f062bb-30cb-429b-8b2a-aaa02d3ea330 · inbound

Self-Supervised On-Policy Reinforcement Learning via Contrastive Proximal Policy Optimisation cites this paper.

Self-Supervised On-Policy Reinforcement Learning via Contrastive Proximal Policy Optimisation OGBench: Benchmarking Offline Goal-Conditioned RL

Reference 18

Resolution: verified exact; arxiv_id, observed 2026-05-14T20:12:55.160986Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 68eaf269-05be-4142-b8dd-52ae9d8b9432 · inbound

Abstraction for Offline Goal-Conditioned Reinforcement Learning cites this paper.

Abstraction for Offline Goal-Conditioned Reinforcement Learning OGBench: Benchmarking Offline Goal-Conditioned RL

Reference 5

Resolution: metadata mismatch; arxiv_id, observed 2026-05-22T07:51:16.424773Z

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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation ae08cfba-9d06-4283-8e67-ce8456143eb3 · inbound

Goal-Conditioned Agents that Learn Everything All at Once cites this paper.

Goal-Conditioned Agents that Learn Everything All at Once OGBench: Benchmarking Offline Goal-Conditioned RL

Reference 44

Resolution: verified exact; arxiv_id, observed 2026-05-25T05:00:21.633420Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 3d2b2bbc-1993-411f-a147-1022ad6c4c7b · inbound

Test-Time Gradient Guidance of Flow Policies in Reinforcement Learning cites this paper.

Test-Time Gradient Guidance of Flow Policies in Reinforcement Learning OGBench: Benchmarking Offline Goal-Conditioned RL

Reference 47

Resolution: verified exact; arxiv_id, observed 2026-07-03T04:17:36.877597Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation eaff6284-3a5b-4e89-951c-191532220092 · inbound

Qantara: Bridge-Flow Training for Multi-Paradigm JEPA Control cites this paper.

Qantara: Bridge-Flow Training for Multi-Paradigm JEPA Control OGBench: Benchmarking Offline Goal-Conditioned RL

Reference 32

Resolution: unresolved; no resolver link, observed 2026-07-11T10:36:56.968032Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bc458cce-5a2c-491f-8fa9-397615687046 · inbound

Information-Based Exploration via Random Features for Reinforcement Learning cites this paper.

Information-Based Exploration via Random Features for Reinforcement Learning OGBench: Benchmarking Offline Goal-Conditioned RL

Reference 42

Resolution: unresolved; no resolver link, observed 2026-08-01T16:35:02.963644Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a760df6e-d248-44ab-bf5f-74b9f08d95af · inbound

Patch Policy: Efficient Embodied Control via Dense Visual Representations cites this paper.

Patch Policy: Efficient Embodied Control via Dense Visual Representations OGBench: Benchmarking Offline Goal-Conditioned RL

Reference 60

Resolution: unresolved; no resolver link, observed 2026-08-01T15:40:56.214865Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dc080992-ec57-4d70-9d2d-b5d554fe735b · inbound

Action from Adjacent Set in Physical Space Outperforms the Best Prediction in World Models cites this paper.

Action from Adjacent Set in Physical Space Outperforms the Best Prediction in World Models OGBench: Benchmarking Offline Goal-Conditioned RL

Reference 17

Resolution: unresolved; no resolver link, observed 2026-07-30T17:53:36.995307Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 43b47a63-4c4c-47c9-8f6c-814b4fa5ef8e · inbound

VisualPatchWorld: Code World Models as Latent Structured Representations for Planning cites this paper.

VisualPatchWorld: Code World Models as Latent Structured Representations for Planning OGBench: Benchmarking Offline Goal-Conditioned RL

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-01T03:05:32.205627Z

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Unavailable: canonical work link unavailable.

Observation 1f3ce3a4-1cc5-4edc-956c-e0696890dc7f · inbound

Do You Really Need to Pretrain Q-Functions for Online RL Fine-Tuning? cites this paper.

Do You Really Need to Pretrain Q-Functions for Online RL Fine-Tuning? OGBench: Benchmarking Offline Goal-Conditioned RL

Reference 54

Resolution: unresolved; no resolver link, observed 2026-07-30T11:06:23.418816Z

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Unavailable: canonical work link unavailable.

Observation 59243467-6b8b-404f-be6d-410361a58dae · inbound

Do You Really Need to Pretrain Q-Functions for Online RL Fine-Tuning? cites this paper.

Do You Really Need to Pretrain Q-Functions for Online RL Fine-Tuning? OGBench: Benchmarking Offline Goal-Conditioned RL

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-05T04:27:43.918926Z

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Unavailable: canonical work link unavailable.

Observation f6166a98-0e4f-4829-abdf-68c99f0d7fc2 · inbound

Good Rankers, Bad Objectives: Bilinear Contrastive Critics under Expressive Policy Search cites this paper.

Good Rankers, Bad Objectives: Bilinear Contrastive Critics under Expressive Policy Search OGBench: Benchmarking Offline Goal-Conditioned RL

Reference 28

Resolution: unresolved; no resolver link, observed 2026-07-31T01:24:21.144653Z

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Unavailable: canonical work link unavailable.